کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7120940 1461463 2018 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An empirical model design for evaluation and estimation of carbonation depth in concrete
ترجمه فارسی عنوان
طراحی مدل تجربی برای ارزیابی و برآورد عمق کربنیت در بتن
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Carbonation is one of the major factors that reduce the durability performances of reinforced concrete (RC) structures. Carbonation contributes in lowering the pH (less than 12) of concrete which is susceptible for the steel in concrete. Lower pH value may break the protective film also known as passive film of steel and accelerate the corrosion process. Although many studies have been performed on carbonation and focused mainly on the mechanisms, sources, and features which promote concrete carbonation. However, as a critical factor influencing the rate of carbonation, concrete mix compositions which come into play during concrete fabrication have not been properly researched or modelled. In this paper, an empirical model was designed using an automated neural network search (ANS) to investigate the effect of concrete mix compositions, weathering effect and exposure time on carbonation depth in concrete. Experimental validation illustrates the reasonable accuracy and robustness of the ANS model. It was found that carbonation process can be controlled by choosing the right composition of concrete mix.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 124, August 2018, Pages 205-210
نویسندگان
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